M
Marli S.P. Azevedo Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Research Microbiologist
faculty
29 h-index
73 pubs
2,327 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Marli S.P. Azevedo's research focuses on viral infections and detection methods, with a significant emphasis on SARS-CoV-2. Her work includes investigating the interactions between the SARS-CoV-2 trimeric spike protein and ACE2, as well as studying conformational changes in the receptor binding domain and predicting B-cell antigenic epitopes using structural data. Azevedo has examined the temporal dynamics and variants of concern of SARS-CoV-2 in wastewater influent from metropolitan areas in Arkansas and has published on wastewater datasets related to SARS-CoV-2 sublineages post-pandemic.
Her research also extends to the direct detection and identification of viruses in saliva using mass spectrometry. Azevedo has contributed to understanding alphacoronaviruses found in human patients with acute respiratory illness in various countries. Her broader interests include nanotechnology in vaccines and personalized medicine. Azevedo leads a research group and has a scholarly record with an h-index of 29, 73 total publications, and 2,325 total citations. Key collaborators include Lisa Mullis, Volodymyr Tryndyak, Camila Silva, and Luísa Camacho, all from the National Center for Toxicological Research.
Metrics
- h-index: 29
- Publications: 73
- Citations: 2,327
Selected Publications
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Investigating the pathogenesis of HCoV-NL63 in bronchial/tracheal and small airway human epithelial cells: Monitoring of cell viability, cell cycle, virus replication, and cytokines production (2026)
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Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic (2025)
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Direct detection and identification of viruses in saliva using a SpecID ionization modified mass spectrometer (2025)
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Nanotechnology in vaccines and personalized medicine (2023)
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Direct Detection and Identification of Viruses in Saliva Using a SpecID™ Ionization Modified Mass Spectrometer (2022)
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Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas (2022)
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Animal alphacoronaviruses found in human patients with acute respiratory illness in different countries. (2022)
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Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data (2021)
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Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations (2021)
Collaboration Network
Top Collaborators
Lisa Mullis
National Center for Toxicological Research
3 shared publications
In database
- Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas
- Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic
- Direct detection and identification of viruses in saliva using a SpecID ionization modified mass spectrometer
Camila Silva
2 shared publications
In database
- Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas
- Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic
Volodymyr Tryndyak
National Center for Toxicological Research
2 shared publications
In database
- Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas
- Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic
Luísa Camacho
National Center for Toxicological Research
2 shared publications
In database
- Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas
- Wastewater dataset on the SARS-CoV-2 sublineages circulating in Central Arkansas, USA, post-COVID-19 pandemic
Sugunadevi Sakkiah
United States Food and Drug Administration
1 shared publication
In database
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Wenjing Guo
United States Food and Drug Administration
1 shared publication
In database
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Bohu Pan
National Center for Toxicological Research
1 shared publication
In database
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Zuowei Ji
National Center for Toxicological Research (US)
1 shared publication
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Gökhan Yavaş
United States Food and Drug Administration (US)
1 shared publication
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Jessica J. Hawes
United States Food and Drug Administration (US)
1 shared publication
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Tucker A. Patterson
National Center for Toxicological Research
1 shared publication
In database
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Huixiao Hong
United States Food and Drug Administration
1 shared publication
In database
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Sangeeta Khare
United States Food and Drug Administration
1 shared publication
In database
- Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data
Pravin Parajuli
National Center for Toxicological Research
1 shared publication
In database
- Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data
Kuppan Gokulan
United States Food and Drug Administration
1 shared publication
In database
- Conformational Changes of the Receptor Binding Domain of SARS-CoV-2 Spike Protein and Prediction of a B-Cell Antigenic Epitope Using Structural Data
Similar Researchers
Based on overlapping research topics
Marli S. P. Azevedo
National Center for Toxicological Research
Viral Infections and Vectors
Mass Spectrometry Techniques and Applications
Public Health Research
Lisa Mullis
National Center for Toxicological Research
SARS-CoV-2 and COVID-19 Research
Viral Infections and Vectors
Public Health Research
Md. Kaisar Rahman
University of Arkansas at Little Rock
SARS-CoV-2 and COVID-19 Research
Viral Infections and Vectors
Public Health Research
James Losey
University of Arkansas at Fayetteville
SARS-CoV-2 and COVID-19 Research
Protein Structure and Dynamics
Nanoparticles: synthesis and applications
Vivek Govind Kumar
University of Arkansas at Fayetteville
SARS-CoV-2 and COVID-19 Research
Viral Infections and Vectors
Protein Structure and Dynamics
Collin Britten
University of Arkansas at Fayetteville
Viral Infections and Vectors
Protein Structure and Dynamics
Nanoparticles: synthesis and applications